ReviewCurrent opinion in structural biology2022
Implications of disease-related mutations at protein-protein interfaces.
Review in Current opinion in structural biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
24 citing papers in PubMed.
- Interpreting human genetic variation at atomic resolution.Nature genetics · 2026Review
- Synergistic antiviral effects of structure-guided peptides and a mutagenic base analog on SARS-CoV-2 replication.Antimicrobial agents and chemotherapy · 2026Article
- COSMIC-Linked Ras Mutations at the Interface Between H-Ras and PI3KγBiochemistry · 2026Article
- COSMIC-Linked Ras Mutations at the Interface Between H-Ras and PI3KγbioRxiv : the preprint server for biology · 2026Article
- Restoring the 14-3-3/CRAF regulatory interaction in Noonan syndrome using molecular glues.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Cancer-associated TRF1 mutations alter PARP1 interaction dynamics: an in silico study.Mammalian genome : official journal of the International Mammalian Genome Society · 2026Article
- COCOMAPS 2.0: a web server for identifying, analyzing, and visualizing atomic interactions at the interface of biomolecular complexes.Bioinformatics (Oxford, England) · 2025Article
- Congenital heart disease missense mutations in the TBX5 DNA-binding domain alter thermal stability and DNA-binding affinity.G3 (Bethesda, Md.) · 2025Article
- Stabilization of Native Protein-Protein Interactions with Molecular Glues: A 14-3-3 Case Study.Accounts of chemical research · 2025Article
- A structurally informed human protein-protein interactome reveals proteome-wide perturbations caused by disease mutations.Nature biotechnology · 2025Article
- Disentangling the mutational effects on protein stability and interaction of human MLH1.PLoS genetics · 2025Article
- Structural recognition and stabilization of tyrosine hydroxylase by the J-domain protein DNAJC12.Nature communications · 2025Article
- Quantum neural networks meet federated learning for DNA mutation prediction.Computational and structural biotechnology journal · 2025Article
- A systematic in-silico functional and structural analysis reveals deleterious missense nsSNPs in the humanMolecular biology research communications · 2025Article
- Targeting pyruvate dehydrogenase kinase 1 overcomes EGFR C797S mutation-driven osimertinib resistance in non-small cell lung cancer.Experimental & molecular medicine · 2024Article
- Structurally-informed human interactome reveals proteome-wide perturbations by disease mutations.bioRxiv : the preprint server for biology · 2024Article
- Computational analysis of protein-protein interactions of cancer drivers in renal cell carcinoma.FEBS open bio · 2024Article
- Structural coverage of the human interactome.Briefings in bioinformatics · 2023Article
- Small molecules targeting protein-protein interactions for cancer therapy.Acta pharmaceutica Sinica. B · 2023Review
- Deep Local Analysis deconstructs protein-protein interfaces and accurately estimates binding affinity changes upon mutation.Bioinformatics (Oxford, England) · 2023Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Protein-protein interfaces have been attracting great attention owing to their critical roles in protein-protein interactions and the fact that human disease-related mutations are generally enriched in them. Recently, substantial research progress has been made in this field, which has significantly promoted the understanding and treatment of various human diseases. For example, many studies have discovered the properties of disease-related mutations. Besides, as more large-scale experimental data become available, various computational approaches have been proposed to advance our understanding of disease mutations from the data. Here, we overview recent advances in characteristics of disease-related mutations at protein-protein interfaces, mutation effects on protein interactions, and investigation of mutations on specific diseases.
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